{"id":1807011,"url":"https://alion.io/job/adopsone-associate-engineer-data-science","title":"Associate Engineer (Data Science)","company":{"id":41612,"name":"Adopsone","domain":"adopsone.ai","url":"https://alion.io/company/adopsone","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Freshteam","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12000,"max_usd":29000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Julia","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-10-03T19:28:38Z","employer_posted_date":"2026-10-03","last_verified_at":"2026-10-09T23:27:06Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"About Affinity\nAffinity is pioneering new frontiers in AdTech: developing solutions that push past today’s limits and open up new opportunities. We are a global AdTech company helping publishers discover better ways to monetize and enabling advertisers to reach the right audiences through new touchpoints. Operating across 10+ markets in Asia, the US, and Europe with a team of over 450 experts, we are building privacy-first ad infrastructure that opens up opportunities beyond the walled gardens.\nRole: Data Science Engineer\nWork Location: Mumbai (Malad)\n\nAbout Role:\nWe are seeking an experienced Data Science Engineer to join our VEVEbusiness unit and work on AI/ML algorithms for various ad decisioning, bid auctioning, ad creative optimization, forecasting, and data classification needs in the field of Digital Advertising. In this role, you will be responsible for managing data, developing and implementing modelling techniques, and communicating insights to stakeholders.\nRoles & Responsibility:\nDesign and develop AI/ML algorithms for ad decisioning, bid auctioning, ad creative optimization, forecasting, and data classification in Digital Advertising.\nIdentify valuable data sources and automate data engineering and ETL processes from ad serving events.\nDevelop strategies for data preparation, including structured and unstructured data.\nPerform feature engineering and analyse large amounts of data from ad serving event logs to identify trends, patterns, and anomalies in bidding and ad decisioning.\nEnsure data privacy and security while conducting data analysis and modelling.\nConduct experiments to validate hypotheses and test new algorithms.\nBuild Minimum Viable Products (MVPs) using a proof-of-concept approach, focusing on scalability, speed, and accuracy.\nBuild and maintain predictive models, dashboards, and automated reports to monitor performance and support decision-making.\nCollaborate with cross-functional teams, such as product, engineering, and sales, to ensure seamless integration of algorithms with other systems and processes.\nStay up to date with the latest industry developments, advancements, and technologies in prediction and classification.\nUnderstanding and implementing diverse strategic ML/AI algos as per industry best practises and creating high impact, high value training models.\nCommunicate results and recommendations to stakeholders, including non-technical audiences, using data visualization techniques.\nRequired Skills:\n3+ years of proven experience as a Data Scientist.\nExperience applying Data Science techniques in the field of Digital Advertising is a must.\nExtensive knowledge and practical experience in machine learning, neural networks, and statistics, with a focus on data modelling, engineering and mining.\nUnderstanding of machine learning and operations research, along with experience using machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn, XGBoost, etc.) and real-time data processing.\nUnderstanding latest advancements announced via industry research communities and research papers.\nProficiency in programming languages like R, Julia, Python, SQL, or Apache Spark.\nExcellent analytical and problem-solving aptitude, critical thinking skills, strong mathematical abilities (statistics, algebra), and effective communication and presentation skills.\nExperience using Business Intelligence Tools and Distributed cloud data frameworks.\nCuriosity and a strong desire for continuous learning.\nBachelor's or Master's degree (or equivalent) in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Operations Research, or a related 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